This repo is used for generate aws machine learning models.
TODO
Model | Description | Algorithm |
---|---|---|
User Recommendations | Recommendations of tickers by userid | Factorization Machines |
Recommendations SecurityID | Recommendations of securityid by userid | Factorization Machines |
Top Recommendations SecurityID | Extension of Recommendations SecurityID. Will recommend top k recommendations for each user using Batch Jobs | K-Nearest Neighbors (k-NN) |
ALS Recommendations SecurityID | Recommendations of securityid by userid using a non-AWS built-in algorithm ALS within a PySparkProcessor using Sagemaker Processing Jobs | ALS (Spark) |
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|____.gitignore
|____ENVVARIABLES.md
|____buildpush.sh
|____CONFIG.md
|____run_task.sh
|____docs
|____requirements.txt
|____templates
| |____template.py
|____Dockerfile
|____HOWTO.md
|____src
| |____models
| | |____operations_recommendations_securityid.py
| | |____recomendation_by_wathclist.py
| | |____recommendations_securityid.py
| | |____ag_recommendations.py
| | |____als_recommendations_securityid.py
| | |____top_recommendations_securityid.py
| | |____user_recommendations.py
| | |____model.py
| |____processing_jobs
| | |____train_spark_als.py
| |____libs
| | |____utils.py
| |____app.py
|____README.md